Results 261 to 270 of about 403,368 (289)

Selection of factor for root mean square minimum error criterion

2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016
This paper deals with various approaches to the selection of weighting factor for of a cumulative weighted root-mean-square minimum error criterion of linear ACSs. Such criterion allows to determine optimal values of small parameters of the system, thus minimizing the system error caused by input replication error of a determined (or random) signal, as
Evgeniya L. Veretelnikova, Irina L. Elantseva   +1 more
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Measurement of Root-Mean-Square Phase Errors in Arrayed Waveguide Gratings

Chinese Physics Letters, 2004
The interference-based method to measure the root-mean-square phase errors in SiO2-based arrayed waveguide gratings (AWGs) is presented. The experimental results show that the rms phase error of the tested AWG is 0.72 rad.
Zheng Xiao-Ping, Chu Yuan-Liang, Zhao Wei, Zhang Han-Yi, Guo Yi-Li   +4 more
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Root mean square time interval error accumulation along slave clock chains

Proceedings of ICC '93 - IEEE International Conference on Communications, 2002
The main aspects of synchronization strategies suitable for application to synchronous digital hierarchy (SDH) based transport networks are discussed, with particular emphasis on the relative phase stability of distributed timing signals. Based on a mathematical model of slave clocks and a reference structure of the synchronization network, a ...
M. Carbonelli, D. De Seta, D. Perucchini
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The Wiener (Root Mean Square) Error Criterion in Filter Design and Prediction

Journal of Mathematics and Physics, 1946
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Effect of the Relative Root-Mean-Square Error on Pavement Response

Analysis of Asphalt Pavement Materials and Systems, 2007
Analysis of flexible pavements using the multilayered elastic theory involves the use of elastic moduli backcalculated from deflection basins measured utilizing the Falling Weight Deflectometer (FWD). Uncertainties associated with the thickness of the elastic layers, seed moduli, and the backcalculation algorithms have been studied to increase the ...
Wael Alkasawneh, Ernie Pan, Roger Green
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Reduction of root-mean-square error in faceted space antennas

AIAA Journal, 1984
This paper examines the potential for reducing root-mean-square surface errors in shallow faceted reflectors by replacing flat facets with laterally curved membrane facets. Exact solutions are obtained for the small lateral deflections of equilateral triangular and rectangular membranes subject to isotropic tension and parabolic edge deflections. These
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Performance measure of image and video quality assessment algorithms: subjective root-mean-square error

Journal of Electronic Imaging, 2016
Evaluating algorithms used to assess image and video quality requires performance measures. Traditional performance measures (e.g., Pearson’s linear correlation coefficient, Spearman’s rank-order correlation coefficient, and root mean square error) compare quality predictions of algorithms to subjective mean opinion scores (mean opinion score ...
Häkkinen Jukka, Nuutinen Mikko, Virtanen Toni   +2 more
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Study of Dynamometer Cards Identification Based on Root-Mean-Square Error Algorithm

International Journal of Pattern Recognition and Artificial Intelligence, 2017
The surface dynamometer cards are important working condition data of sucker-rod pumping system. It has a very important practical significance for the analysis of transmission system and the diagnosis of oil production condition of sucker-rod pumping system.
Tao Ren, Xiaoqing Kang, Wen Sun, Hong Song   +3 more
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Accuracy Analysis of Anisotropic Yield Functions based on the Root-Mean Square Error

AIP Conference Proceedings, 2010
This paper evaluates the accuracy of popular anisotropic yield functions based on the root‐mean square error (RMSE) of the yield stresses and the R‐values. The yield functions include Hill48, Yld89, Yld91, Yld96, Yld2000‐2d, BBC2000 and Yld2000‐18p yield criteria.
Hoon Huh, Yanshan Lou, Gihyun Bae, Changsoo Lee, F. Barlat, Y. H. Moon, M. G. Lee   +6 more
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A note on minimum mean squared error estimation of signals with unit roots

Journal of Economic Dynamics and Control, 1988
Using an ARIMA parametrization, this note provides a very simple proof of how the Wiener-Kolmogorov-Whittle filter to estimate signals in time series can be extended to the nonstationary case. The proof is valid for any number and type of unit roots (not simply those implied by differencing) in both the signal and the overall model.
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